Ruth Keogh
@ruthkeogh.bsky.social
Professor of Biostatistics and Epidemiology at the London School of Hygiene & Tropical Medicine.
Reposted by Ruth Keogh
🥳 Registration for abstracts for EuroCIM 2026 (Oxford) is now OPEN and the deadline for submissions is 9 January 2026: eurocim.org/oxford-2026/...
👉 Theme? “Causal inference in health, economic and social science”
👉 When? April 14-17
👉 Where? Oxford
👉 Register? eurocim.org/oxford-2026/...
👉 Theme? “Causal inference in health, economic and social science”
👉 When? April 14-17
👉 Where? Oxford
👉 Register? eurocim.org/oxford-2026/...
November 11, 2025 at 10:55 AM
🥳 Registration for abstracts for EuroCIM 2026 (Oxford) is now OPEN and the deadline for submissions is 9 January 2026: eurocim.org/oxford-2026/...
👉 Theme? “Causal inference in health, economic and social science”
👉 When? April 14-17
👉 Where? Oxford
👉 Register? eurocim.org/oxford-2026/...
👉 Theme? “Causal inference in health, economic and social science”
👉 When? April 14-17
👉 Where? Oxford
👉 Register? eurocim.org/oxford-2026/...
Reposted by Ruth Keogh
Our next #datascience seminar takes place this afternoon. Details and how to join 🔽
🛌 Tomorrow Anna Sigríður Islind will discuss the Sleep Revolution project and using #AI machine learning to develop better diagnoses for obstructive sleep apnea #HealthData
🗓️ Tuesday 21 October, 14:00 BST
📍 LSHTM | Online
Details ⬇️
www.lshtm.ac.uk/newsevents/e...
🗓️ Tuesday 21 October, 14:00 BST
📍 LSHTM | Online
Details ⬇️
www.lshtm.ac.uk/newsevents/e...
October 21, 2025 at 8:16 AM
Our next #datascience seminar takes place this afternoon. Details and how to join 🔽
Reposted by Ruth Keogh
Join us next week for our #PublicHealth seminar on using casual inference in #epidemiology research for asthma & kidney disease #HealthData
🗓️ Tuesday 14 October, 12:50 BST
📍 LSHTM | Online
Details ⬇️
www.lshtm.ac.uk/newsevents/e...
🗓️ Tuesday 14 October, 12:50 BST
📍 LSHTM | Online
Details ⬇️
www.lshtm.ac.uk/newsevents/e...
October 9, 2025 at 11:13 AM
Join us next week for our #PublicHealth seminar on using casual inference in #epidemiology research for asthma & kidney disease #HealthData
🗓️ Tuesday 14 October, 12:50 BST
📍 LSHTM | Online
Details ⬇️
www.lshtm.ac.uk/newsevents/e...
🗓️ Tuesday 14 October, 12:50 BST
📍 LSHTM | Online
Details ⬇️
www.lshtm.ac.uk/newsevents/e...
Reposted by Ruth Keogh
New paper in @annalsofim.bsky.social
"50 ways to misinterpret clinical prediction models for treatment decisions”
--> Published version: www.acpjournals.org/doi/10.7326/...
--> Open access version: arxiv.org/pdf/2402.17366
"50 ways to misinterpret clinical prediction models for treatment decisions”
--> Published version: www.acpjournals.org/doi/10.7326/...
--> Open access version: arxiv.org/pdf/2402.17366
The Risks of Risk Assessment: Causal Blind Spots When Using Prediction Models for Treatment Decisions | Annals of Internal Medicine
Clinicians increasingly rely on prediction models to guide treatment choices. Most prediction models, however, are developed using observational data that include some patients who have already receiv...
www.acpjournals.org
August 11, 2025 at 2:32 PM
New paper in @annalsofim.bsky.social
"50 ways to misinterpret clinical prediction models for treatment decisions”
--> Published version: www.acpjournals.org/doi/10.7326/...
--> Open access version: arxiv.org/pdf/2402.17366
"50 ways to misinterpret clinical prediction models for treatment decisions”
--> Published version: www.acpjournals.org/doi/10.7326/...
--> Open access version: arxiv.org/pdf/2402.17366
Reposted by Ruth Keogh
🚨 Next month, we’ll be hosting a one-day event on target-trial emulation and other frameworks, exploring the role and potential of observational data for evaluating the effects of interventions
Open to everyone working in #datascience #biostatistics #clinicaltrials
Get your ticket 🔽
bit.ly/TTE_25
Open to everyone working in #datascience #biostatistics #clinicaltrials
Get your ticket 🔽
bit.ly/TTE_25
May 27, 2025 at 11:55 AM
🚨 Next month, we’ll be hosting a one-day event on target-trial emulation and other frameworks, exploring the role and potential of observational data for evaluating the effects of interventions
Open to everyone working in #datascience #biostatistics #clinicaltrials
Get your ticket 🔽
bit.ly/TTE_25
Open to everyone working in #datascience #biostatistics #clinicaltrials
Get your ticket 🔽
bit.ly/TTE_25
Reposted by Ruth Keogh
HIRING!
2 PhD openings within the “Safe Causal Inference” consortium with experts from biostatistics, computer science, math, and epidemiology.
You'll develop new methods to evaluate prediction algorithms that take the causal effect of treatments into account.
👉 www.lumc.nl/en/about-lum....
2 PhD openings within the “Safe Causal Inference” consortium with experts from biostatistics, computer science, math, and epidemiology.
You'll develop new methods to evaluate prediction algorithms that take the causal effect of treatments into account.
👉 www.lumc.nl/en/about-lum....
PhD Candidates Causal machine learning – Performance assessment of causal predictive algorithms | LUMC
Do you want to work on challenging problems within causal inference and contribute to algorithms that support treatment decisions for individual patients? As PhD candidate causal machine learning at t...
www.lumc.nl
May 19, 2025 at 8:39 AM
HIRING!
2 PhD openings within the “Safe Causal Inference” consortium with experts from biostatistics, computer science, math, and epidemiology.
You'll develop new methods to evaluate prediction algorithms that take the causal effect of treatments into account.
👉 www.lumc.nl/en/about-lum....
2 PhD openings within the “Safe Causal Inference” consortium with experts from biostatistics, computer science, math, and epidemiology.
You'll develop new methods to evaluate prediction algorithms that take the causal effect of treatments into account.
👉 www.lumc.nl/en/about-lum....
🎫Registration open for 1-day hybrid event: “Target trial emulation and other frameworks: The role and potential of observational data for evaluating effects of interventions”. 📆26th June. tinyurl.com/dash-tte. Hosted by LSHTM Centre for Data & Statistical Science for Health. @lshtm-dash.bsky.social
Target trial emulation and other frameworks | LSHTM
Large scale observational data are increasingly available for healthcare research, including from electronic health records and disease registries. Target trial emulation (TTE) provides a framework
tinyurl.com
May 16, 2025 at 9:25 AM
🎫Registration open for 1-day hybrid event: “Target trial emulation and other frameworks: The role and potential of observational data for evaluating effects of interventions”. 📆26th June. tinyurl.com/dash-tte. Hosted by LSHTM Centre for Data & Statistical Science for Health. @lshtm-dash.bsky.social
📆 SAVE THE DATE: 26 June 📆 for our 1-day event on “Target trial emulation and other frameworks: The role and potential of observational data for evaluating effects of interventions”, hosted by the Centre for Data & Statistical Science for Health (DASH) at LSHTM. @lshtm-dash.bsky.social
April 24, 2025 at 6:12 PM
📆 SAVE THE DATE: 26 June 📆 for our 1-day event on “Target trial emulation and other frameworks: The role and potential of observational data for evaluating effects of interventions”, hosted by the Centre for Data & Statistical Science for Health (DASH) at LSHTM. @lshtm-dash.bsky.social
Reposted by Ruth Keogh
👋 Hi Bluesky. We’re the Centre for Data and Statistical Science for Health (DASH) at @lshtm.bsky.social
We are the hub for data and statistical science in LSHTM, applying our expertise and data science resources to the biggest problems in global health
Find out more about us 👇
We are the hub for data and statistical science in LSHTM, applying our expertise and data science resources to the biggest problems in global health
Find out more about us 👇
April 7, 2025 at 9:35 AM
👋 Hi Bluesky. We’re the Centre for Data and Statistical Science for Health (DASH) at @lshtm.bsky.social
We are the hub for data and statistical science in LSHTM, applying our expertise and data science resources to the biggest problems in global health
Find out more about us 👇
We are the hub for data and statistical science in LSHTM, applying our expertise and data science resources to the biggest problems in global health
Find out more about us 👇
Reposted by Ruth Keogh
3rd April, in London and online, come and hear @rlgrant.bsky.social talk about his new book with Gian Luca Di Tanna on Bayesian meta-analysis. Further details at www.lshtm.ac.uk/newsevents/e...
Demystifying Bayesian meta-analysis for researchers | LSHTM
Bayesian models offer a powerful framework for meta-analysis through their flexible and probabilistic treatment of uncertainty.There are several methodological challenges in evidence synthesis,
www.lshtm.ac.uk
March 19, 2025 at 3:32 PM
3rd April, in London and online, come and hear @rlgrant.bsky.social talk about his new book with Gian Luca Di Tanna on Bayesian meta-analysis. Further details at www.lshtm.ac.uk/newsevents/e...
Reposted by Ruth Keogh
Excited to speak in the CAUSALab Methods Series tomorrow
January 27, 2025 at 2:06 PM
Excited to speak in the CAUSALab Methods Series tomorrow
Reposted by Ruth Keogh
We're still seeking candidates interested in causal inference and/or survival analysis for a postdoc position in Oslo. Deadline January 31.
Please apply or forward this to anyone who might be interested!
www.jobbnorge.no/en/available...
Please apply or forward this to anyone who might be interested!
www.jobbnorge.no/en/available...
Four year postdoc position at the Oslo Centre for Biostatistics and Epidemiology (OCBE) (272144) | University of Oslo
Job title: Four year postdoc position at the Oslo Centre for Biostatistics and Epidemiology (OCBE) (272144), Employer: University of Oslo, Deadline: Friday, January 31, 2025
www.jobbnorge.no
January 20, 2025 at 8:47 AM
We're still seeking candidates interested in causal inference and/or survival analysis for a postdoc position in Oslo. Deadline January 31.
Please apply or forward this to anyone who might be interested!
www.jobbnorge.no/en/available...
Please apply or forward this to anyone who might be interested!
www.jobbnorge.no/en/available...
Reposted by Ruth Keogh
Seminar series on ‘Causal Inference in Environmental Epidemiology’ hosted by the DASH Centre, with experts from Harvard, North Carolina State, and LSHTM.
First seminar on 22 January (15:00 - 16:00).
Info and links:
www.lshtm.ac.uk/newsevents/e...
#CausalInference #LSHTM #AirPollution #DataScience
First seminar on 22 January (15:00 - 16:00).
Info and links:
www.lshtm.ac.uk/newsevents/e...
#CausalInference #LSHTM #AirPollution #DataScience
Centre for Data and Statistical Science for Health
The Centre for Data and Statistical Science for Health brings together data science expertise from across LSHTM to generate new opportunities for research, training and knowledge exchange into policy ...
www.lshtm.ac.uk
January 17, 2025 at 9:50 AM
Seminar series on ‘Causal Inference in Environmental Epidemiology’ hosted by the DASH Centre, with experts from Harvard, North Carolina State, and LSHTM.
First seminar on 22 January (15:00 - 16:00).
Info and links:
www.lshtm.ac.uk/newsevents/e...
#CausalInference #LSHTM #AirPollution #DataScience
First seminar on 22 January (15:00 - 16:00).
Info and links:
www.lshtm.ac.uk/newsevents/e...
#CausalInference #LSHTM #AirPollution #DataScience
Reposted by Ruth Keogh
Vacancy for a postdoc position.
Improve the transparency of decision support algorithms by figuring out how we can quantify and communicate uncertainty in individual causal predictions.
With Marleen Kunneman, Daniala Weir and me.
Three more days to apply 👇
www.lumc.nl/en/about-lum...
Improve the transparency of decision support algorithms by figuring out how we can quantify and communicate uncertainty in individual causal predictions.
With Marleen Kunneman, Daniala Weir and me.
Three more days to apply 👇
www.lumc.nl/en/about-lum...
Postdoc Biomedical Data Scientist / Biostatistician | LUMC
In this postdoc position at LUMC, you will work on groundbreaking research that enhances the transparency and trustworthiness of decision support algorithms in healthcare. This position allows you to ...
www.lumc.nl
December 30, 2024 at 2:56 PM
Vacancy for a postdoc position.
Improve the transparency of decision support algorithms by figuring out how we can quantify and communicate uncertainty in individual causal predictions.
With Marleen Kunneman, Daniala Weir and me.
Three more days to apply 👇
www.lumc.nl/en/about-lum...
Improve the transparency of decision support algorithms by figuring out how we can quantify and communicate uncertainty in individual causal predictions.
With Marleen Kunneman, Daniala Weir and me.
Three more days to apply 👇
www.lumc.nl/en/about-lum...
Reposted by Ruth Keogh
📣 Do you want to learn about recent advances in causal inference?
Colleagues at INSERM are organising a workshop gathering international experts in the field. Bonus: it's happening in two amazing locations 🌇🇫🇷
Colleagues at INSERM are organising a workshop gathering international experts in the field. Bonus: it's happening in two amazing locations 🌇🇫🇷
December 18, 2024 at 9:02 AM
📣 Do you want to learn about recent advances in causal inference?
Colleagues at INSERM are organising a workshop gathering international experts in the field. Bonus: it's happening in two amazing locations 🌇🇫🇷
Colleagues at INSERM are organising a workshop gathering international experts in the field. Bonus: it's happening in two amazing locations 🌇🇫🇷
Reposted by Ruth Keogh
🔥Air pollution from landscape fires associated with over 1.5 million deaths globally per year.
New research in The Lancet co-authored by Malcolm Mistry
& Antonio Gasparrini from #EHMLab at LSHTM assessed the global impact of #AirPollution from landscape fires.
#PublicHealth
👉 bit.ly/3R3LiZY
New research in The Lancet co-authored by Malcolm Mistry
& Antonio Gasparrini from #EHMLab at LSHTM assessed the global impact of #AirPollution from landscape fires.
#PublicHealth
👉 bit.ly/3R3LiZY
December 4, 2024 at 11:50 AM
🔥Air pollution from landscape fires associated with over 1.5 million deaths globally per year.
New research in The Lancet co-authored by Malcolm Mistry
& Antonio Gasparrini from #EHMLab at LSHTM assessed the global impact of #AirPollution from landscape fires.
#PublicHealth
👉 bit.ly/3R3LiZY
New research in The Lancet co-authored by Malcolm Mistry
& Antonio Gasparrini from #EHMLab at LSHTM assessed the global impact of #AirPollution from landscape fires.
#PublicHealth
👉 bit.ly/3R3LiZY
New paper from Shaun Seaman and me on how to simulate data from marginal structural models (MSMs) for survival outcomes, including Cox MSMs. This can be useful in simulation studies evaluating causal inference methods that use MSMs. R code provided. onlinelibrary.wiley.com/doi/10.1002/...
Simulating Data From Marginal Structural Models for a Survival Time Outcome
Marginal structural models (MSMs) are often used to estimate causal effects of treatments on survival time outcomes from observational data when time-dependent confounding may be present. They can be...
onlinelibrary.wiley.com
November 23, 2024 at 2:39 PM
New paper from Shaun Seaman and me on how to simulate data from marginal structural models (MSMs) for survival outcomes, including Cox MSMs. This can be useful in simulation studies evaluating causal inference methods that use MSMs. R code provided. onlinelibrary.wiley.com/doi/10.1002/...